Lal Khan

565 total citations
15 papers, 334 citations indexed

About

Lal Khan is a scholar working on Artificial Intelligence, Signal Processing and Experimental and Cognitive Psychology. According to data from OpenAlex, Lal Khan has authored 15 papers receiving a total of 334 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Artificial Intelligence, 4 papers in Signal Processing and 4 papers in Experimental and Cognitive Psychology. Recurrent topics in Lal Khan's work include Sentiment Analysis and Opinion Mining (7 papers), Topic Modeling (5 papers) and Speech and Audio Processing (4 papers). Lal Khan is often cited by papers focused on Sentiment Analysis and Opinion Mining (7 papers), Topic Modeling (5 papers) and Speech and Audio Processing (4 papers). Lal Khan collaborates with scholars based in Taiwan, Mexico and Pakistan. Lal Khan's co-authors include Hsien-Tsung Chang, Ammar Amjad, Noman Ashraf, Alexander Gelbukh, Grigori Sidorov, Atika Qazi, Awais Mahmood, Ahyoung Choi, Rizwana Yasmeen and Adil Khan and has published in prestigious journals such as Scientific Reports, IEEE Access and Frontiers in Physiology.

In The Last Decade

Lal Khan

14 papers receiving 326 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Lal Khan Taiwan	8	253	40	38	37	25	15	334
Ammar Amjad Taiwan	8	229 0.9×	36 0.9×	43 1.1×	39 1.1×	18 0.7×	11	292
Noman Ashraf Mexico	10	244 1.0×	21 0.5×	29 0.8×	47 1.3×	24 1.0×	14	290
Surabhi Adhikari India	10	142 0.6×	10 0.3×	12 0.3×	49 1.3×	18 0.7×	13	299
C. N. Subalalitha India	10	358 1.4×	20 0.5×	30 0.8×	64 1.7×	37 1.5×	23	393
Sajeetha Thavareesan Sri Lanka	11	467 1.8×	35 0.9×	40 1.1×	69 1.9×	34 1.4×	16	491
Nouha Dziri United States	7	252 1.0×	22 0.6×	9 0.2×	17 0.5×	19 0.8×	17	310
Ashraf Kamal India	6	185 0.7×	18 0.5×	24 0.6×	49 1.3×	18 0.7×	8	218
Jamin Shin Hong Kong	7	188 0.7×	20 0.5×	7 0.2×	24 0.6×	35 1.4×	14	240
Jingye Li China	10	403 1.6×	43 1.1×	13 0.3×	34 0.9×	12 0.5×	14	427
Burcu Can Türkiye	9	192 0.8×	10 0.3×	25 0.7×	44 1.2×	6 0.2×	38	251

Countries citing papers authored by Lal Khan

Since Specialization

Citations

This map shows the geographic impact of Lal Khan's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Lal Khan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lal Khan more than expected).

Fields of papers citing papers by Lal Khan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Lal Khan. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Lal Khan. The network helps show where Lal Khan may publish in the future.

Co-authorship network of co-authors of Lal Khan

This figure shows the co-authorship network connecting the top 25 collaborators of Lal Khan. A scholar is included among the top collaborators of Lal Khan based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Lal Khan. Lal Khan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

15 of 15 papers shown

Yasmeen, Rizwana, Lal Khan, & Ahyoung Choi. (2025). Heart disease prediction using hybrid TabNet architecture with stacked ensemble learning. Frontiers in Physiology. 16. 1665128–1665128.

Khan, Lal, et al.. (2025). RAMHA: A Hybrid Social Text-Based Transformer with Adapter for Mental Health Emotion Classification. Mathematics. 13(18). 2918–2918. 3 indexed citations

Khan, Lal, et al.. (2025). Evolving techniques in sentiment analysis: a comprehensive review. PeerJ Computer Science. 11. e2592–e2592. 6 indexed citations

Khan, Lal, et al.. (2024). Empowering Urdu sentiment analysis: an attention-based stacked CNN-Bi-LSTM DNN with multilingual BERT. Complex & Intelligent Systems. 11(1). 7 indexed citations

Khan, Lal, et al.. (2024). Migraine headache (MH) classification using machine learning methods with data augmentation. Scientific Reports. 14(1). 5180–5180. 9 indexed citations

Khan, Khalid Ali, et al.. (2024). Sublethal impacts of Buprofezin and Pyriproxyfen on cotton mealybug Phenacoccus solenopsis through transgenerational hormesis. Phytoparasitica. 52(2). 2 indexed citations

Khan, Adil, et al.. (2024). Using VizDoom Research Platform Scenarios for Benchmarking Reinforcement Learning Algorithms in First-Person Shooter Games. IEEE Access. 12. 15105–15132. 1 indexed citations

Amjad, Ammar, Lal Khan, & Hsien-Tsung Chang. (2022). Data augmentation and deep neural networks for the classification of Pakistani racial speakers recognition. PeerJ Computer Science. 8. e1053–e1053. 7 indexed citations

Amjad, Ammar, et al.. (2022). Recognizing Semi-Natural and Spontaneous Speech Emotions Using Deep Neural Networks. IEEE Access. 10. 37149–37163. 14 indexed citations

10.

Khan, Lal, Ammar Amjad, Noman Ashraf, & Hsien-Tsung Chang. (2022). Multi-class sentiment analysis of urdu text using multilingual BERT. Scientific Reports. 12(1). 5436–5436. 66 indexed citations

11.

Khan, Lal, et al.. (2022). Deep Sentiment Analysis Using CNN-LSTM Architecture of English and Roman Urdu Text Shared in Social Media. Applied Sciences. 12(5). 2694–2694. 91 indexed citations

12.

Ashraf, Noman, et al.. (2022). Multi-label emotion classification of Urdu tweets. PeerJ Computer Science. 8. e896–e896. 23 indexed citations

13.

Amjad, Ammar, Lal Khan, & Hsien-Tsung Chang. (2021). Semi-Natural and Spontaneous Speech Recognition Using Deep Neural Networks with Hybrid Features Unification. Processes. 9(12). 2286–2286. 14 indexed citations

14.

Khan, Lal, Ammar Amjad, Noman Ashraf, Hsien-Tsung Chang, & Alexander Gelbukh. (2021). Urdu Sentiment Analysis With Deep Learning Methods. IEEE Access. 9. 97803–97812. 67 indexed citations

15.

Amjad, Ammar, Lal Khan, & Hsien-Tsung Chang. (2021). Effect on speech emotion classification of a feature selection approach using a convolutional neural network. PeerJ Computer Science. 7. e766–e766. 24 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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